Intro to On-device Machine Learning (TF Fall 2020 Updates)

In this session, Developer Advocate Khanh LeViet (@khanhlvg) talks about TensorFlow Lite, the framework that brings ML to mobile and embedded systems. You’ll learn about the differences between ML on a supercomputer and ML on a portable device, and the tools and technologies that Google has developed to allow you to bring your work to mobile devices without reinventing the wheel. We’ll cover the basics and also special subjects like TinyML and model optimization and quantization.

Learn more about TensorFlow Lite →
TensorFlow Lite example apps →
TensorFlow Lite for Microcontrollers →
Robotic vacuum cleaner powered by TF →

Check out more TF Fall 2020 updates →
Subscribe to TensorFlow →


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